smah.runner

class smah.runner.Runner(args, settings)

Bases: object

MAX_PIPE_LENGTH = 2048

PIPE_HEAD_LENGTH = 1024

inference_model(task: str) → Model | None

interactive(query: str | None = None, pipe: str | None = None) → None

static log_mode(mode: str, level: int = 20, show: bool = False) → None

static log_openai_completion_request(model: Model, thread: list, response_format: dict | NotGiven, options: dict | None = None, show: bool = False, level: int = 20) → None

static log_openai_completion_response(response: ChatCompletion, level=20, show: bool = False) → None

static log_pipe_plan(plan: dict, level: int = 10, show: bool = False)

static log_query_plan(plan: dict, level: int = 10, show: bool = False)

openai_client()

pipe(query: str, pipe: str) → str | None

pipe_plan(query: str, pipe: str) → Tuple[bool, dict] | None

static planner_response(response: ChatCompletion) → Tuple[bool, dict] | None

static print_message(message: dict, format: bool = False, strip_cot=True, styles: dict | None = None)

query(query: str) → str | None

query_plan(query: str) → Tuple[bool, dict] | None

static replace_exec_tags(content: str)

resume(id: int, title: str, plan: dict, pipe: str, messages: list) → None

run(model: Model, thread: list, response_format: dict | NotGiven = NOT_GIVEN, tools: dict | NotGiven = NOT_GIVEN, options: dict | None = None, show: bool = False)

Modules

prompts
response_parser
runner